Tenderly Debugger: Setup, Tracing, and Debugging EVM Transactions

We design and develop full-cycle blockchain solutions: from smart contract architecture to launching DeFi protocols, NFT marketplaces and crypto exchanges. Security audits, tokenomics, integration with existing infrastructure.
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Tenderly Debugger: Setup, Tracing, and Debugging EVM Transactions
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A transaction fails with execution reverted — no reason string, no readable log. Or it consumes three times more gas than expected, and it's unclear why. Or a multisig executed incorrectly, but which exact call caused it remains a mystery. console.log doesn't work in Solidity on mainnet, and viewing raw opcodes in Etherscan is painful. This scenario is the daily bread of smart contract developers. In our practice, about 40% of support requests relate to unclear reverts. Manual trace analysis takes from one hour to half a day. Tenderly Debugger cuts that to 2-3 minutes. According to Tenderly, teams save up to 90% of time on error finding. In one case, we reduced gas consumption by 25% after optimization found via tracing.

How Tenderly Debugger Helps Find the Cause of Errors

For each transaction, Tenderly builds:

  • Execution trace — step-by-step opcode execution with stack and memory state
  • Call tree — tree of nested calls (internal calls, delegatecall, staticcall)
  • State changes — which storage slots changed and from which value to which
  • Event logs — all emitted events, including from nested calls
  • Gas breakdown — how much gas each call in the tree consumed

For contracts with verified source code, the debugger shows Solidity lines instead of opcodes. This is tens of times faster than manually searching for errors. For example, when debugging a reentrancy attack, Tenderly shows the exact number of recursive withdraw() calls and the amount of ETH leaked per iteration.

Example: Debugging a Reverted Transaction

A common scenario: a user reports a failed transaction, hash is known, but reason is empty (old contract, require without message). Paste the hash into Tenderly — immediately see the line in the source where the revert occurred and the current variable values. In one project, we found in 2 minutes a slippage calculation error that caused a 0.5% liquidity loss on every swap.

Setting Up a Project in Tenderly

Adding a Contract

npm install -g @tenderly/cli
tenderly login
tenderly init  # creates tenderly.yaml in the project

For Hardhat projects, you can install a plugin that automatically pushes artifacts:

// hardhat.config.js
require("@tenderly/hardhat-tenderly");

module.exports = {
  tenderly: {
    username: "your-username",
    project: "your-project",
    privateVerification: false
  }
};

After that, running npx hardhat run scripts/deploy.js --network mainnet automatically verifies contracts in Tenderly.

Fork for Debugging

Tenderly Fork — a snapshot of network state at a specific block. You can send transactions without risking funds and see full tracing:

const axios = require('axios');

const response = await axios.post(
  `https://api.tenderly.co/api/v1/account/${username}/project/${project}/fork`,
  {
    network_id: "1",
    block_number: 19500000
  },
  { headers: { 'X-Access-Key': process.env.TENDERLY_ACCESS_KEY } }
);

const forkId = response.data.simulation_fork.id;
const forkRpc = `https://rpc.tenderly.co/fork/${forkId}`;

Connect to forkRpc as a regular JSON-RPC — all transactions are recorded and available for analysis.

Why Tenderly Debugger Is Better Than Local Debugging

Parameter Tenderly Debugger Local debugger (Hardhat/Foundry)
Network state Real mainnet state Isolated, local
Fork support Yes, any block Requires state import
Call tree visualization Graphical tree Only text log
CI integration Simulation API Running scripts
Availability SaaS, web interface Local only

Additionally, Tenderly allows comparing gas costs of different approaches. For example, a typical transfer costs ~21000 gas, while a swap via Uniswap V3 costs from 80000 to 150000 gas depending on slippage.

Operation Gas cost (Ethereum mainnet)
Simple ETH transfer 21000 gas
ERC-20 approve() call ~45000 gas
ERC-20 transferFrom() call ~35000 gas
Swap via Uniswap V3 ~100000 gas
Deploy a simple contract ~200000 gas

These numbers help estimate where suboptimal calls are hidden.

Simulation API for Testing

The Simulation API allows simulating transactions before sending them to the network. We use it in CI for automated regression:

const simulation = await axios.post(
  `https://api.tenderly.co/api/v1/account/${username}/project/${project}/simulate`,
  {
    network_id: "1",
    from: "0xSenderAddress",
    to: "0xContractAddress",
    input: contractInterface.encodeFunctionData("transfer", [recipient, amount]),
    gas: 200000,
    gas_price: "20000000000",
    value: "0",
    save: true
  },
  { headers: { 'X-Access-Key': process.env.TENDERLY_ACCESS_KEY } }
);

console.log(simulation.data.transaction.status);
console.log(simulation.data.transaction.gas_used);

Integration of Simulation API into CI pipeline: obtain API key, create endpoint, add a step in GitHub Actions or GitLab CI, check status and gas. If parameters exceed limits, the pipeline fails.

What’s Included in Our Tenderly Turnkey Setup

  • Full verification of all project contracts in Tenderly
  • Setup of fork environment for debugging and testing
  • Integration of Simulation API into CI/CD
  • Documentation on usage and configuration
  • Team training (1-2 sessions)
  • Support for one month after deployment

We are a team with 5 years of experience in blockchain development, having completed over 20 smart contract and DApp projects. Our expertise guarantees fast and quality setup.

Timeframe Estimates

Basic setup with verification and Hardhat plugin connection: 1-2 days. Extended configuration with fork, Simulation API, and monitoring: up to 5 days.

To assess the capabilities of Tenderly for your project get a consultation — contact us. Order a turnkey debugger setup and get full transaction transparency.

Smart Contract Development

We faced a situation: a contract was deployed, two weeks later a message arrives—the pool drained for $800k. Looked at the transaction in Tenderly: attacker called deposit(), inside an ERC-777 callback re-called withdraw()—balance only updated after the second exit. Classic reentrancy, but not via ETH transfer—through an ERC-777 hook. ReentrancyGuard was only on withdraw().

Such cases are not rare. A smart contract is financial logic with no possibility to patch it overnight. Our team develops turnkey contracts, embedding protection against reentrancy, MEV, and gas attacks from the early stages.

How We Develop Smart Contracts Turnkey

We start with business logic audit and stack selection. Solidity 0.8.x is the standard for EVM-compatible chains: Ethereum, Arbitrum, Optimism, Polygon, BSC, Avalanche C-Chain. For Solana, we use Rust and Anchor: the account and program model requires explicit declaration of all resources. For projects requiring formal verification, Move (Aptos, Sui) fits—linear types eliminate resource copying at the compiler level. Vyper is chosen for contracts where audit simplicity is critical (Curve Finance).

Language Execution Model Typical Domain Risks
Solidity 0.8.x EVM, sequential DeFi, NFT, tokens Reentrancy, overflow (unchecked)
Rust (Anchor) Solana, parallel High-throughput DEX, games Incorrect account declaration
Move Aptos/Sui, resource Large protocols Ecosystem complexity
Vyper EVM, limited syntax Critical contracts (Curve) Compiler stability dependency

Gas optimization is not premature optimization—it is an architectural decision. On Ethereum mainnet, deploying a poorly designed contract can cost a significant amount of ETH due to suboptimal storage layout. Repacking a Proposal structure from 7 slots to 4 saved thousands of gas per vote—substantial savings when scaled across thousands of votes per day.

Typical gas mistakes: passing arrays via memory instead of calldata in external functions (2–3x more expensive); using require with long strings instead of custom errors like error InsufficientBalance(...). Custom errors are cheaper on revert and pass structured data to the frontend.

Why Smart Contract Audit Is Critical for Security

Audit is not a one-time check—it is a built-in development stage. We use three levels:

  1. Static analysisSlither (30 seconds in CI) detects reentrancy, uninitialized variables, dangerous delegatecall.
  2. Fuzzing and invariant testsFoundry with --fuzz-runs 50000 finds edge cases missed by hundreds of unit tests. Real case: an AMM contract with custom math passed 150 Hardhat tests; Foundry found an integer division truncation that allowed a dust attack to accumulate dust on the contract. Echidna checks invariants ("sum of all balances ≤ totalSupply").
  3. Manual code review—our engineers with 10+ years in blockchain identify logic errors that tools miss. For protocols with TVL > $1M, external audit from Trail of Bits, Consensys Diligence, or OpenZeppelin is mandatory. Timeline: 2–4 weeks.

Any upgradeable protocol must have a timelock. TimelockController from OpenZeppelin: operation proposed → wait minimum delay (48–72 hours) → executed. Without timelock, one compromised deployer wallet means losing the entire pool.

What Upgrade Patterns Do We Choose?

Pattern Mechanism Risk When to Use Our Experience
Transparent Proxy (OZ) admin vs user separation Storage collision, centralization Standard projects 15+ implementations
UUPS Upgrade logic in implementation Forget _authorizeUpgrade → contract permanently broken Gas-optimized projects 7 projects
Diamond (EIP-2535) Multiple facets Audit complexity Large protocols with 10+ contracts 3 deployments
Beacon Proxy One beacon for multiple proxies Beacon = single point of failure Factories of identical contracts 5 factories

Storage collision is the main danger of proxies. Implementation v2 must not add variables before existing ones. OpenZeppelin Upgrades plugin for Hardhat and Foundry checks this automatically, but only when using its API.

How to Protect a Contract from MEV and Front-Running

On Ethereum mainnet, transactions in the mempool are visible to all. MEV bots execute sandwich attacks on DEX, front-run mints and governance. Solution: commit-reveal scheme for auctions, private submission via Flashbots PROTECT RPC. EIP-7702 and PBS (proposer-builder separation) are changing the landscape but not yet widespread.

What Is the Development Process?

  1. Analysis—functional specification, call diagram, edge case analysis. Without this, coding starts in vain.
  2. Development—Solidity/Rust with tests in parallel. Test → code → refactoring. Use Foundry for fuzz and invariant tests.
  3. Internal audit—Slither + Echidna + manual code review. Foundry invariant tests for protocol invariants.
  4. External audit—for projects with real money. Timeline: 2–4 weeks.
  5. Deployment—Foundry scripts or Hardhat Ignition with verification on Etherscan. Gnosis Safe for ownership transfer immediately after deployment.
  6. Monitoring—Tenderly alerts, OpenZeppelin Defender, Forta Network.

What Is Included

  • Architecture documentation and contract specification (NatSpec).
  • Source code with repository and CI (Slither, Foundry, coverage).
  • Deployed contract with verification on blockchain explorer.
  • Audit results (internal and external upon request).
  • Access to monitoring and management (Gnosis Safe).
  • Code warranty: critical bug fixes within one month after deployment.
  • Consultation on web integration (wagmi, RainbowKit).

Estimated Timelines

  • ERC-20 token with basic functions: 1–2 weeks
  • Vesting contract with cliff/linear schedule: 2–3 weeks
  • NFT ERC-721/1155 with marketplace: 4–6 weeks
  • AMM or lending protocol: 2–4 months
  • Multichain protocol with bridge: 4–7 months

Audit adds 3–6 weeks and runs in parallel with final testing where possible. Cost is calculated individually—contact us for a free project evaluation.

Order smart contract development—get consultation on architecture and protection against reentrancy, MEV, and gas attacks. Want to discuss details? Write to us—we will select the optimal stack for your task.